From Learning to Analytics: Improving Model Efficacy with Goal-Directed Client Selection

no code implementations • 30 Mar 2024 • Jingwen Tong, Zhenzhen Chen, Liqun Fu, Jun Zhang, Zhu Han

To address the challenges posed by system and data heterogeneities in the FL process, we study a goal-directed client selection problem based on the model analytics framework by selecting a subset of clients for the model training.

Federated Learning